SOTAVerified

Visual Localization

Visual Localization is the problem of estimating the camera pose of a given image relative to a visual representation of a known scene.

Source: Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 276–300 of 402 papers

TitleStatusHype
Pose Estimation from Camera Images for Underwater Inspection—0
Privacy Preserving Structure-from-Motion—0
Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings—0
RADA: Robust and Accurate Feature Learning with Domain Adaptation—0
RelMobNet: End-to-end relative camera pose estimation using a robust two-stage training—0
Re-localization acceleration with Medoid Silhouette Clustering—0
Reprojection Errors as Prompts for Efficient Scene Coordinate Regression—0
Foveated Retinotopy Improves Classification and Localization in CNNs—0
Review on Panoramic Imaging and Its Applications in Scene Understanding—0
Rigidity Preserving Image Transformations and Equivariance in Perspective—0
RNR-Nav: A Real-World Visual Navigation System Using Renderable Neural Radiance Maps—0
Robust Visual Localization via Semantic-Guided Multi-Scale Transformer—0
SACReg: Scene-Agnostic Coordinate Regression for Visual Localization—0
SafeNav: Safe Path Navigation using Landmark Based Localization in a GPS-denied Environment—0
SASSE: Scalable and Adaptable 6-DOF Pose Estimation—0
Scale-Robust Localization Using General Object Landmarks—0
Scene-agnostic Pose Regression for Visual Localization—0
SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphs—0
SceneSqueezer: Learning To Compress Scene for Camera Relocalization—0
SegLoc: Learning Segmentation-Based Representations for Privacy-Preserving Visual Localization—0
Selecting and Pruning: A Differentiable Causal Sequentialized State-Space Model for Two-View Correspondence Learning—0
Self-Supervised Feature Learning for Long-Term Metric Visual Localization—0
Self-supervised Learning of Neural Implicit Feature Fields for Camera Pose Refinement—0
Self-supervised Moving Vehicle Tracking with Stereo Sound—0
Semantically-Aware Attentive Neural Embeddings for Image-based Visual Localization—0
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All datasetsOxford Radar RobotCar (Full-6)Aachen Day-Night v1.1 BenchmarkOxford RobotCar FullExtended CMU SeasonsRobotCar Seasons v2

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MapNetMean Translation Error48.21—Unverified
2PointNetVLADMean Translation Error28.48—Unverified
3DCPMean Translation Error18.45—Unverified
4AD-MapNetMean Translation Error18.43—Unverified
5AtLoc+Mean Translation Error17.92—Unverified
6PosePNMean Translation Error16.32—Unverified
7VMLocMean Translation Error15.11—Unverified
8MS-TransformerMean Translation Error11.69—Unverified
9PoseMinkLocMean Translation Error11.2—Unverified
10PosePN++Mean Translation Error10.64—Unverified
#ModelMetricClaimedVerifiedStatus
1GIM-LoFTRAcc@0.25m, 2°79.1—Unverified
2LoFTRAcc@0.25m, 2°78.5—Unverified
3GIM-SuperGlueAcc@0.25m, 2°78—Unverified
4SuperGlueAcc@0.25m, 2°77—Unverified
5GIM-DKMAcc@0.25m, 2°77—Unverified
6SCFeatAcc@0.25m, 2°74.3—Unverified
7DKMAcc@0.25m, 2°70.2—Unverified
#ModelMetricClaimedVerifiedStatus
1AtLocMean Translation Error29.6—Unverified
2MapNet++Mean Translation Error29.5—Unverified
3GNNMapNetMean Translation Error17.35—Unverified
4CoordiNetMean Translation Error14.96—Unverified
5AtLoc+Mean Translation Error13.7—Unverified
6RobustLocMean Translation Error9.37—Unverified
#ModelMetricClaimedVerifiedStatus
1Patch-NetVLADAcc @ .25m, 2°0.12—Unverified
#ModelMetricClaimedVerifiedStatus
1Patch-NetVLADAcc @ .25m, 2°0.1—Unverified